Answer:
I apologize for any inconvenience, but I don't have access to specific sections or exercises from copyrighted textbooks as my knowledge is based on publicly available information up to September 2021. To determine the shape of a binomial probability distribution, you can use the following guideline:
1. If p (the probability of success) is much larger than 0.5 and n (the number of trials) is sufficiently large, the distribution is approximately symmetric (or normal).
2. If p is much smaller than 0.5 and n is sufficiently large, the distribution is also approximately symmetric (or normal) but skewed to the right.
3. If p is close to 0.5 and n is moderate to large, the distribution is approximately symmetric (or normal).
4. If n is small and p is not extremely close to 0 or 1, the distribution may be skewed, but the direction of skewness (left or right) depends on the value of p.
Without specific values for n and p from Exercise 26, it's challenging to determine the exact shape of the probability histogram. However, you can use the guideline above and the given values of n and p to make an educated guess about the shape of the binomial probability distribution.
Explanation: